68 citations · 94 across the 5 of their papers we have counts for
7 papers
Algorithmic Improvement and GPU Acceleration of the GenASM Algorithm
Joël Lindegger, Damla Senol Cali, Mohammed Alser +2
We improve on GenASM, a recent algorithm for genomic sequence alignment, by significantly reducing its memory footprint and bandwidth requirement. Our algorithmic improvements redu…
CODIC: A Low-Cost Substrate for Enabling Custom In-DRAM Functionalities and Optimizations
Lois Orosa, Yaohua Wang, Mohammad Sadrosadati +10
DRAM is the dominant main memory technology used in modern computing systems. Computing systems implement a memory controller that interfaces with DRAM via DRAM commands. DRAM exec…
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou +7
Near-Data-Processing (NDP) architectures present a promising way to alleviate data movement costs and can provide significant performance and energy benefits to parallel applicatio…
NATSA: A Near-Data Processing Accelerator for Time Series Analysis
Ivan Fernandez, Ricardo Quislant, Christina Giannoula +5
Time series analysis is a key technique for extracting and predicting events in domains as diverse as epidemiology, genomics, neuroscience, environmental sciences, economics, and m…
Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Orestis Zachariadis, Nitin Satpute, Juan Gómez-Luna +1
Sparse general matrix-matrix multiplication (spGEMM) is an essential component in many scientific and data analytics applications. However, the sparsity pattern of the input matric…
Accelerating B-spline Interpolation on GPUs: Application to Medical Image Registration
Orestis Zachariadis, Andrea Teatini, Nitin Satpute +4
Background and Objective. B-spline interpolation (BSI) is a popular technique in the context of medical imaging due to its adaptability and robustness in 3D object modeling. A fiel…